Amazon S3 is a cloud-based object storage service from Amazon Web Services. It's key features are storage management and monitoring, access management and security, data querying, and data transfer.
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Google Cloud Datastore
Score 7.7 out of 10
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Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.
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Pricing
Amazon S3 (Simple Storage Service)
Google Cloud Datastore
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Amazon S3
Google Cloud Datastore
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon S3 (Simple Storage Service)
Google Cloud Datastore
Features
Amazon S3 (Simple Storage Service)
Google Cloud Datastore
Data Center Backup
Comparison of Data Center Backup features of Product A and Product B
Amazon S3 (Simple Storage Service)
8.9
11 Ratings
6% above category average
Google Cloud Datastore
-
Ratings
Universal recovery
8.810 Ratings
00 Ratings
Instant recovery
8.210 Ratings
00 Ratings
Recovery verification
8.47 Ratings
00 Ratings
Business application protection
8.67 Ratings
00 Ratings
Multiple backup destinations
8.910 Ratings
00 Ratings
Incremental backup identification
9.24 Ratings
00 Ratings
Backup to the cloud
9.111 Ratings
00 Ratings
Deduplication and file compression
8.85 Ratings
00 Ratings
Snapshots
9.27 Ratings
00 Ratings
Flexible deployment
9.211 Ratings
00 Ratings
Management dashboard
7.910 Ratings
00 Ratings
Platform support
8.810 Ratings
00 Ratings
Retention options
9.77 Ratings
00 Ratings
Encryption
9.78 Ratings
00 Ratings
Enterprise Backup
Comparison of Enterprise Backup features of Product A and Product B
Amazon S3 (Simple Storage Service)
8.7
11 Ratings
5% above category average
Google Cloud Datastore
-
Ratings
Continuous data protection
9.510 Ratings
00 Ratings
Replication
9.010 Ratings
00 Ratings
Operational reporting and analytics
8.211 Ratings
00 Ratings
Malware protection
8.54 Ratings
00 Ratings
Multi-location capabilities
9.211 Ratings
00 Ratings
Ransomware Recovery
8.01 Ratings
00 Ratings
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon S3 is a great service to safely backup your data where redundancy is guaranteed and the cost is fair. We use Amazon S3 for data that we backup and hope we never need to access but in the case of a catastrophic or even small slip of the finger with the delete command we know our data and our client's data is safely backed up by Amazon S3. Transferring data into Amazon S3 is free but transferring data out has an associated, albeit low, cost per GB. This needs to be kept in mind if you plan on transferring out a lot of data frequently. There may be other cost effective options although Amazon S3 prices are really low per GB. Transferring 150TB would cost approximately $50 per month.
If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
Fantastic developer API, including AWS command line and library utilities.
Strong integration with the AWS ecosystem, especially with regards to access permissions.
It's astoundingly stable- you can trust it'll stay online and available for anywhere in the world.
Its static website hosting feature is a hidden gem-- it provides perhaps the cheapest, most stable, most high-performing static web hosting available in PaaS.
Web console can be very confusing and challenging to use, especially for new users
Bucket policies are very flexible, but the composability of the security rules can be very confusing to get right, often leading to security rules in use on buckets other than what you believe they are
For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
It is tricky to get it all set up correctly with policies and getting the IAM settings right. There is also a lot of lifecycle config you can do in terms of moving data to cold/glacier storage. It is also not to be confused with being a OneDrive or SharePoint replacement, they each have their own place in our environment, and S3 is used more by the IT team and accessed by our PHP applications. It is not necessarily used by an average everyday user for storing their pictures or documents, etc.
AWS has always been quick to resolve any support ticket raised. S3 is no exception. We have only ever used it once to get a clarification regarding the costs involved when data is transferred between S3 and other AWS services or the public internet. We got a response from AWS support team within a day.
Overall, we found that Amazon S3 provided a lot of backend features Google Cloud Storage (GCS) simply couldn't compare to. GCS was way more expensive and really did not live up to it. In terms of setup, Google Cloud Storage may have Amazon S3 beat, however, as it is more of a pseudo advanced version of Google Drive, that was not a hard feat for it to achieve. Overall, evaluating GCS, in comparison to S3, was an utter disappointment.
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
It practically eliminated some real heavy storage servers from our premises and reduced maintenance cost.
The excellent durability and reliability make sure the return of money you invested in.
If the objects which are not active or stale, one needs to remove them. Those objects keep adding cost to each billing cycle. If you are handling a really big infrastructure, sometimes this creates quite a huge bill for preserving un-necessary objects/documents.